An introduction to clustering with R:
Gespeichert in:
Hauptverfasser: | , , |
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Format: | Buch |
Sprache: | English |
Veröffentlicht: |
Singapore
Springer
[2020]
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Schriftenreihe: | Behaviormetrics: Quantitative Approaches to Human Behavior
1 |
Schlagworte: | |
Online-Zugang: | Inhaltsverzeichnis |
Beschreibung: | xvii, 340 Seiten Illustrationen, Diagramme |
ISBN: | 9789811305528 |
Internformat
MARC
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Datensatz im Suchindex
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Contents Part I Introduction 1 Introduction to Clustering. 1.1 Basic Concepts. References. 3 3 5 Part II Standard Clustering Hierarchical Clustering. 2.1 Introduction. 2.2 Distance Measures. 2.3 Agglomerative Hierarchical Clustering. 2.4 Divisive Hierarchical Clustering. 2.5 agnes and hclust. 2.5.1 Case Study with QuantitativeData. 2.5.2 Case Studies with MixedData. 2.5.3 One Further Case Study. 2.6 Functions for Divisive Clustering . 2.6.1 diana . 2.6.2 mona . References. 9 9 9 14 17 18 18 33 44 65 65 69 72 3
Non-Hierarchical Clustering. 3.1 Introduction. 3.2. . 3.3 k-Medoids. 3.4 kmeans. 3.4.1 Alternative Functions. 75 75 78 80 81 94 2
X 4 Contents 3.5 pam. 3.5.1 Plotting Cluster Solutions. 3.5.2 Clara. 3.5.3 Alternative Functions. 3.6 Divisive . . References. 96 100 102 105 105 109 Big Data and Clustering. 4.1 Standard Methods. References. Ill Ill 120 Part III 5 Fuzzy Clustering Fuzzy Clustering. 5.1 Introduction. 5.2 Fuzzy . . 5.2.1 Cluster Validity Indices. 5.2.2 FKM. 5.2.3
cmeans. 5.2.4 fem. 5.2.5 fuzzy. CM. 5.3 Gustafson-Kessel Extensions of Fuzzy . 5.3.1 FKM.gk. 5.3.2 FKM.gkb andfuzzy.GK. 5.4 Entropie Fuzzy . . 5.4.1 FKM. ent. 5.5 Fuzzy k-Means with Polynomial Fuzzifier. 5.5.1 FKM.pf. 5.6 Fuzzy £-Medoids. 5.6.1 FKM.med. 5.7 Fuzzy Clustering for Relational Data. 5.7.1 fanny. 5.7.2 NEFRC. 5.8 Fuzzy k-Means with Noise Cluster. 5.8.1 FKM.noise. 5.9 Possibilistic
k-Means. 5.9.1 pern. 5.10 Hybrid (Fuzzy/Possibilistic) Clustering Methods. 5.10.1 fpcm, mfpcm and pfem. References. 125 125 126 128 130 136 138 140 143 145 152 154 155 158 160 164 166 173 176 182 189 190 194 195 198 201 208
xi Contents Part IV Model-Based Clustering 6 Model-Based Clustering. 6.1 Introduction. 6.2 Finite Mixture Models. 6.3 Parameter Estimation. 6.3.1 EM Algorithm for Finite Mixture Models. 6.3.2 EM-Туре Algorithms. 6.3.3 Initializing the EM Algorithm. 6.3.4 Stopping Criteria for the EM Algorithm. 6.4 On Identifiability of Finite Mixture Models. 6.5 Model Selection. 6.6 Gaussian Mixture Models for Continuous Data. 6.7 Mixture Models for Categorical and Mixed Data. 6.7.1 Latent Class Analysis Model. 6.7.2 ClustMD Model. 6.8 mclust, Rmixmod, and elustMD . 6.8.1 Case Study with Continuous Data. 6.8.2 Case Studies with Categorical and Mixed Data.
References. 215 215 216 217 218 219 221 222 223 224 228 231 232 233 235 236 256 285 7 Issues in Gaussian Model-Based Clustering. 7.1 Introduction. 7.2 High Dimensionality in Gaussian Mixture Models. 7.2.1 Regularization and Tandem Analysis Strategies. 7.2.2 Parsimonious Gaussian Mixture Models. 7.2.3 pgmm. 7.3 Departures from Gaussian Mixture Models. 7.3.1 Mixtures of i Distributions. 7.3.2 Mixtures of Skew-Normal Distributions. 7.3.3 Handling Kurtosis and Skewness via Finite Mixture Models. 7.3.4 teigen and mixsmsn. 7.4 Dealing with Outliers. 7.5 Cluster or Component?. References. 291 291 291 292 292 295 305 306 307 308 309 324 332 335 |
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discipline | Soziologie Mathematik |
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institution | BVB |
isbn | 9789811305528 |
language | English |
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physical | xvii, 340 Seiten Illustrationen, Diagramme |
publishDate | 2020 |
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publishDateSort | 2020 |
publisher | Springer |
record_format | marc |
series | Behaviormetrics: Quantitative Approaches to Human Behavior |
series2 | Behaviormetrics: Quantitative Approaches to Human Behavior |
spelling | Giordani, Paolo Verfasser (DE-588)129190934 aut An introduction to clustering with R Paolo Giordani, Maria Brigida Ferraro, Francesca Martella Singapore Springer [2020] xvii, 340 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Behaviormetrics: Quantitative Approaches to Human Behavior 1 Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics Biostatistics Statistics Ferraro, Maria Brigida Verfasser aut Martella, Francesca Verfasser aut Erscheint auch als Online-Ausgabe 978-981-130-553-5 Behaviormetrics: Quantitative Approaches to Human Behavior 1 (DE-604)BV047141726 1 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032402980&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
spellingShingle | Giordani, Paolo Ferraro, Maria Brigida Martella, Francesca An introduction to clustering with R Behaviormetrics: Quantitative Approaches to Human Behavior Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics Biostatistics Statistics |
title | An introduction to clustering with R |
title_auth | An introduction to clustering with R |
title_exact_search | An introduction to clustering with R |
title_exact_search_txtP | An introduction to clustering with R |
title_full | An introduction to clustering with R Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
title_fullStr | An introduction to clustering with R Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
title_full_unstemmed | An introduction to clustering with R Paolo Giordani, Maria Brigida Ferraro, Francesca Martella |
title_short | An introduction to clustering with R |
title_sort | an introduction to clustering with r |
topic | Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics Biostatistics Statistics |
topic_facet | Statistical Theory and Methods Statistics and Computing/Statistics Programs Applied Statistics Biostatistics Statistics |
url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=032402980&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
volume_link | (DE-604)BV047141726 |
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